Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	2215
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	259.7 KiB
Average record size in memory	120.1 B

Variable types

Numeric	11
Categorical	4

Alerts

`Income` is highly correlated with `Spending` and 6 other fields	High correlation
`Spending` is highly correlated with `Income` and 6 other fields	High correlation
`Wines` is highly correlated with `Income` and 6 other fields	High correlation
`Fruits` is highly correlated with `Income` and 6 other fields	High correlation
`Meat` is highly correlated with `Income` and 6 other fields	High correlation
`Fish` is highly correlated with `Income` and 6 other fields	High correlation
`Sweets` is highly correlated with `Income` and 6 other fields	High correlation
`Gold` is highly correlated with `Income` and 6 other fields	High correlation
`Income` is highly correlated with `Spending` and 5 other fields	High correlation
`Spending` is highly correlated with `Income` and 6 other fields	High correlation
`Wines` is highly correlated with `Income` and 2 other fields	High correlation
`Fruits` is highly correlated with `Income` and 4 other fields	High correlation
`Meat` is highly correlated with `Income` and 5 other fields	High correlation
`Fish` is highly correlated with `Income` and 4 other fields	High correlation
`Sweets` is highly correlated with `Income` and 4 other fields	High correlation
`Gold` is highly correlated with `Spending`	High correlation
`Income` is highly correlated with `Spending` and 2 other fields	High correlation
`Spending` is highly correlated with `Income` and 5 other fields	High correlation
`Wines` is highly correlated with `Income` and 2 other fields	High correlation
`Fruits` is highly correlated with `Spending` and 3 other fields	High correlation
`Meat` is highly correlated with `Income` and 5 other fields	High correlation
`Fish` is highly correlated with `Spending` and 3 other fields	High correlation
`Sweets` is highly correlated with `Fruits` and 2 other fields	High correlation
`Gold` is highly correlated with `Spending`	High correlation
`Children` is highly correlated with `Has_child`	High correlation
`Has_child` is highly correlated with `Children`	High correlation
`Income` is highly correlated with `Spending` and 5 other fields	High correlation
`Spending` is highly correlated with `Income` and 7 other fields	High correlation
`Has_child` is highly correlated with `Income` and 5 other fields	High correlation
`Children` is highly correlated with `Income` and 2 other fields	High correlation
`Wines` is highly correlated with `Income` and 4 other fields	High correlation
`Fruits` is highly correlated with `Spending` and 4 other fields	High correlation
`Meat` is highly correlated with `Income` and 3 other fields	High correlation
`Fish` is highly correlated with `Spending` and 6 other fields	High correlation
`Sweets` is highly correlated with `Income` and 2 other fields	High correlation
`Gold` is highly correlated with `Spending` and 2 other fields	High correlation
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Fruits` has 395 (17.8%) zeros	Zeros
`Fish` has 379 (17.1%) zeros	Zeros
`Sweets` has 413 (18.6%) zeros	Zeros
`Gold` has 61 (2.8%) zeros	Zeros

Reproduction

Analysis started	2022-05-29 11:34:41.772973
Analysis finished	2022-05-29 11:34:58.511845
Duration	16.74 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	2215
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1121.365688

Minimum	0
Maximum	2239
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	119.7
Q1	566.5
median	1120
Q3	1677.5
95-th percentile	2126.3
Maximum	2239
Range	2239
Interquartile range (IQR)	1111

Descriptive statistics

Standard deviation	642.8756364
Coefficient of variation (CV)	0.5732970458
Kurtosis	-1.193932254
Mean	1121.365688
Median Absolute Deviation (MAD)	556
Skewness	0.0009928310651
Sum	2483825
Variance	413289.0839
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
1496	1	< 0.1%
1490	1	< 0.1%
1491	1	< 0.1%
1492	1	< 0.1%
1493	1	< 0.1%
1494	1	< 0.1%
1495	1	< 0.1%
1497	1	< 0.1%
1505	1	< 0.1%
Other values (2205)	2205	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
2239	1	< 0.1%
2238	1	< 0.1%
2237	1	< 0.1%
2236	1	< 0.1%
2235	1	< 0.1%
2234	1	< 0.1%
2232	1	< 0.1%
2231	1	< 0.1%
2230	1	< 0.1%
2229	1	< 0.1%

Age
Real number (ℝ_≥0)

Distinct	59
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.18329571

Minimum	26
Maximum	129
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	26
5-th percentile	34
Q1	45
median	52
Q3	63
95-th percentile	72
Maximum	129
Range	103
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	11.98699954
Coefficient of variation (CV)	0.2253903107
Kurtosis	0.7340235972
Mean	53.18329571
Median Absolute Deviation (MAD)	9
Skewness	0.3529119716
Sum	117801
Variance	143.6881581
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46	89	4.0%
51	86	3.9%
47	83	3.7%
50	78	3.5%
44	76	3.4%
52	75	3.4%
57	74	3.3%
49	72	3.3%
53	70	3.2%
48	69	3.1%
Other values (49)	1443	65.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26	2	0.1%
27	5	0.2%
28	3	0.1%
29	5	0.2%
30	13	0.6%
31	15	0.7%
32	18	0.8%
33	29	1.3%
34	29	1.3%
35	27	1.2%

Value	Count	Frequency (%)
129	1	< 0.1%
123	1	< 0.1%
122	1	< 0.1%
82	1	< 0.1%
81	1	< 0.1%
79	6	0.3%
78	7	0.3%
77	8	0.4%
76	16	0.7%
75	16	0.7%

Education
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Postgraduate	1961
Undergraduate	254

Length

Max length	13
Median length	12
Mean length	12.11467269
Min length	12

Characters and Unicode

Total characters	26834
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Postgraduate
2nd row	Postgraduate
3rd row	Postgraduate
4th row	Postgraduate
5th row	Postgraduate

Common Values

Value	Count	Frequency (%)
Postgraduate	1961	88.5%
Undergraduate	254	11.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
postgraduate	1961	88.5%
undergraduate	254	11.5%

Most occurring characters

Value	Count	Frequency (%)
a	4430	16.5%
t	4176	15.6%
r	2469	9.2%
d	2469	9.2%
e	2469	9.2%
g	2215	8.3%
u	2215	8.3%
P	1961	7.3%
o	1961	7.3%
s	1961	7.3%
Other values (2)	508	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24619	91.7%
Uppercase Letter	2215	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4430	18.0%
t	4176	17.0%
r	2469	10.0%
d	2469	10.0%
e	2469	10.0%
g	2215	9.0%
u	2215	9.0%
o	1961	8.0%
s	1961	8.0%
n	254	1.0%

Uppercase Letter

Value	Count	Frequency (%)
P	1961	88.5%
U	254	11.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26834	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4430	16.5%
t	4176	15.6%
r	2469	9.2%
d	2469	9.2%
e	2469	9.2%
g	2215	8.3%
u	2215	8.3%
P	1961	7.3%
o	1961	7.3%
s	1961	7.3%
Other values (2)	508	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26834	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4430	16.5%
t	4176	15.6%
r	2469	9.2%
d	2469	9.2%
e	2469	9.2%
g	2215	8.3%
u	2215	8.3%
P	1961	7.3%
o	1961	7.3%
s	1961	7.3%
Other values (2)	508	1.9%

Marital_Status
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

In couple	1429
Alone	786

Length

Max length	9
Median length	9
Mean length	7.580586907
Min length	5

Characters and Unicode

Total characters	16791
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alone
2nd row	Alone
3rd row	In couple
4th row	In couple
5th row	In couple

Common Values

Value	Count	Frequency (%)
In couple	1429	64.5%
Alone	786	35.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
in	1429	39.2%
couple	1429	39.2%
alone	786	21.6%

Most occurring characters

Value	Count	Frequency (%)
n	2215	13.2%
o	2215	13.2%
l	2215	13.2%
e	2215	13.2%
I	1429	8.5%
	1429	8.5%
c	1429	8.5%
u	1429	8.5%
p	1429	8.5%
A	786	4.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13147	78.3%
Uppercase Letter	2215	13.2%
Space Separator	1429	8.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	2215	16.8%
o	2215	16.8%
l	2215	16.8%
e	2215	16.8%
c	1429	10.9%
u	1429	10.9%
p	1429	10.9%

Uppercase Letter

Value	Count	Frequency (%)
I	1429	64.5%
A	786	35.5%

Space Separator

Value	Count	Frequency (%)
	1429	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15362	91.5%
Common	1429	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	2215	14.4%
o	2215	14.4%
l	2215	14.4%
e	2215	14.4%
I	1429	9.3%
c	1429	9.3%
u	1429	9.3%
p	1429	9.3%
A	786	5.1%

Common

Value	Count	Frequency (%)
	1429	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16791	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	2215	13.2%
o	2215	13.2%
l	2215	13.2%
e	2215	13.2%
I	1429	8.5%
	1429	8.5%
c	1429	8.5%
u	1429	8.5%
p	1429	8.5%
A	786	4.7%

Income
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1973
Distinct (%)	89.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51969.8614

Minimum	1730
Maximum	162397
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	1730
5-th percentile	18985
Q1	35284
median	51373
Q3	68487
95-th percentile	83977
Maximum	162397
Range	160667
Interquartile range (IQR)	33203

Descriptive statistics

Standard deviation	21526.32009
Coefficient of variation (CV)	0.4142077642
Kurtosis	0.7135488169
Mean	51969.8614
Median Absolute Deviation (MAD)	16549
Skewness	0.3473496759
Sum	115113243
Variance	463382456.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7500	12	0.5%
35860	4	0.2%
46098	3	0.1%
37760	3	0.1%
18929	3	0.1%
47025	3	0.1%
18690	3	0.1%
34176	3	0.1%
67445	3	0.1%
83844	3	0.1%
Other values (1963)	2175	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1730	1	< 0.1%
2447	1	< 0.1%
3502	1	< 0.1%
4023	1	< 0.1%
4428	1	< 0.1%
4861	1	< 0.1%
5305	1	< 0.1%
5648	1	< 0.1%
6560	1	< 0.1%
6835	1	< 0.1%

Value	Count	Frequency (%)
162397	1	< 0.1%
160803	1	< 0.1%
157733	1	< 0.1%
157243	1	< 0.1%
157146	1	< 0.1%
156924	1	< 0.1%
153924	1	< 0.1%
113734	1	< 0.1%
105471	1	< 0.1%
102692	1	< 0.1%

Spending
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1047
Distinct (%)	47.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	607.3214447

Minimum	5
Maximum	2525
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	5
5-th percentile	22
Q1	69
median	397
Q3	1048
95-th percentile	1778.3
Maximum	2525
Range	2520
Interquartile range (IQR)	979

Descriptive statistics

Standard deviation	602.925291
Coefficient of variation (CV)	0.9927614055
Kurtosis	-0.3474766422
Mean	607.3214447
Median Absolute Deviation (MAD)	354
Skewness	0.857445198
Sum	1345217
Variance	363518.9066
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	18	0.8%
46	18	0.8%
57	16	0.7%
55	15	0.7%
44	15	0.7%
38	14	0.6%
37	14	0.6%
43	14	0.6%
20	14	0.6%
48	14	0.6%
Other values (1037)	2063	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	2	0.1%
8	4	0.2%
9	2	0.1%
10	5	0.2%
11	5	0.2%
12	2	0.1%
13	6	0.3%
14	3	0.1%
15	10	0.5%

Value	Count	Frequency (%)
2525	2	0.1%
2524	1	< 0.1%
2486	1	< 0.1%
2440	1	< 0.1%
2352	1	< 0.1%
2349	1	< 0.1%
2346	1	< 0.1%
2302	2	0.1%
2283	1	< 0.1%
2279	1	< 0.1%

Seniority
Real number (ℝ_≥0)

Distinct	662
Distinct (%)	29.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	108.1501279

Minimum	96.36666667
Maximum	119.6666667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	96.36666667
5-th percentile	97.63333333
Q1	102.3666667
median	108.2
Q3	114
95-th percentile	118.6
Maximum	119.6666667
Range	23.3
Interquartile range (IQR)	11.63333333

Descriptive statistics

Standard deviation	6.749290903
Coefficient of variation (CV)	0.06240668442
Kurtosis	-1.20056394
Mean	108.1501279
Median Absolute Deviation (MAD)	5.8
Skewness	-0.01666424152
Sum	239552.5333
Variance	45.55292769
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
118.6	12	0.5%
118.2	11	0.5%
113.0333333	11	0.5%
97.96666667	11	0.5%
106.8	10	0.5%
97.63333333	10	0.5%
99.2	9	0.4%
114.4666667	9	0.4%
99.63333333	9	0.4%
116.6333333	9	0.4%
Other values (652)	2114	95.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
96.36666667	2	0.1%
96.4	3	0.1%
96.43333333	3	0.1%
96.46666667	4	0.2%
96.5	5	0.2%
96.53333333	2	0.1%
96.56666667	2	0.1%
96.6	5	0.2%
96.63333333	2	0.1%
96.66666667	2	0.1%

Value	Count	Frequency (%)
119.6666667	1	< 0.1%
119.6333333	1	< 0.1%
119.6	4	0.2%
119.5666667	3	0.1%
119.5333333	5	0.2%
119.5	4	0.2%
119.4666667	1	< 0.1%
119.4333333	3	0.1%
119.4	4	0.2%
119.3666667	7	0.3%

Has_child
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Has child	1582
No child	633

Length

Max length	9
Median length	9
Mean length	8.714221219
Min length	8

Characters and Unicode

Total characters	19302
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No child
2nd row	Has child
3rd row	No child
4th row	Has child
5th row	Has child

Common Values

Value	Count	Frequency (%)
Has child	1582	71.4%
No child	633	28.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
child	2215	50.0%
has	1582	35.7%
no	633	14.3%

Most occurring characters

Value	Count	Frequency (%)
	2215	11.5%
c	2215	11.5%
h	2215	11.5%
i	2215	11.5%
l	2215	11.5%
d	2215	11.5%
H	1582	8.2%
a	1582	8.2%
s	1582	8.2%
N	633	3.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14872	77.0%
Space Separator	2215	11.5%
Uppercase Letter	2215	11.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	2215	14.9%
h	2215	14.9%
i	2215	14.9%
l	2215	14.9%
d	2215	14.9%
a	1582	10.6%
s	1582	10.6%
o	633	4.3%

Uppercase Letter

Value	Count	Frequency (%)
H	1582	71.4%
N	633	28.6%

Space Separator

Value	Count	Frequency (%)
	2215	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17087	88.5%
Common	2215	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	2215	13.0%
h	2215	13.0%
i	2215	13.0%
l	2215	13.0%
d	2215	13.0%
H	1582	9.3%
a	1582	9.3%
s	1582	9.3%
N	633	3.7%
o	633	3.7%

Common

Value	Count	Frequency (%)
	2215	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19302	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2215	11.5%
c	2215	11.5%
h	2215	11.5%
i	2215	11.5%
l	2215	11.5%
d	2215	11.5%
H	1582	8.2%
a	1582	8.2%
s	1582	8.2%
N	633	3.3%

Children
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

1 child	1116
No child	633
2 children	416
3 children	50

Length

Max length	10
Median length	7
Mean length	7.916930023
Min length	7

Characters and Unicode

Total characters	17536
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No child
2nd row	2 children
3rd row	No child
4th row	1 child
5th row	1 child

Common Values

Value	Count	Frequency (%)
1 child	1116	50.4%
No child	633	28.6%
2 children	416	18.8%
3 children	50	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
child	1749	39.5%
1	1116	25.2%
no	633	14.3%
children	466	10.5%
2	416	9.4%
3	50	1.1%

Most occurring characters

Value	Count	Frequency (%)
	2215	12.6%
c	2215	12.6%
h	2215	12.6%
i	2215	12.6%
l	2215	12.6%
d	2215	12.6%
1	1116	6.4%
N	633	3.6%
o	633	3.6%
r	466	2.7%
Other values (4)	1398	8.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13106	74.7%
Space Separator	2215	12.6%
Decimal Number	1582	9.0%
Uppercase Letter	633	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	2215	16.9%
h	2215	16.9%
i	2215	16.9%
l	2215	16.9%
d	2215	16.9%
o	633	4.8%
r	466	3.6%
e	466	3.6%
n	466	3.6%

Decimal Number

Value	Count	Frequency (%)
1	1116	70.5%
2	416	26.3%
3	50	3.2%

Space Separator

Value	Count	Frequency (%)
	2215	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	633	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13739	78.3%
Common	3797	21.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	2215	16.1%
h	2215	16.1%
i	2215	16.1%
l	2215	16.1%
d	2215	16.1%
N	633	4.6%
o	633	4.6%
r	466	3.4%
e	466	3.4%
n	466	3.4%

Common

Value	Count	Frequency (%)
	2215	58.3%
1	1116	29.4%
2	416	11.0%
3	50	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17536	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2215	12.6%
c	2215	12.6%
h	2215	12.6%
i	2215	12.6%
l	2215	12.6%
d	2215	12.6%
1	1116	6.4%
N	633	3.6%
o	633	3.6%
r	466	2.7%
Other values (4)	1398	8.0%

Wines
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	776
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	305.2252822

Minimum	0
Maximum	1493
Zeros	13
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	24
median	175
Q3	505
95-th percentile	1000.3
Maximum	1493
Range	1493
Interquartile range (IQR)	481

Descriptive statistics

Standard deviation	337.34538
Coefficient of variation (CV)	1.105234067
Kurtosis	0.5814930267
Mean	305.2252822
Median Absolute Deviation (MAD)	166
Skewness	1.170183337
Sum	676074
Variance	113801.9054
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	42	1.9%
1	37	1.7%
6	37	1.7%
5	37	1.7%
4	33	1.5%
8	30	1.4%
3	30	1.4%
9	27	1.2%
12	25	1.1%
14	24	1.1%
Other values (766)	1893	85.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	0.6%
1	37	1.7%
2	42	1.9%
3	30	1.4%
4	33	1.5%
5	37	1.7%
6	37	1.7%
7	21	0.9%
8	30	1.4%
9	27	1.2%

Value	Count	Frequency (%)
1493	1	< 0.1%
1492	2	0.1%
1486	1	< 0.1%
1478	2	0.1%
1462	1	< 0.1%
1459	1	< 0.1%
1449	1	< 0.1%
1396	1	< 0.1%
1394	1	< 0.1%
1379	1	< 0.1%

Fruits
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	158
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.36162528

Minimum	0
Maximum	199
Zeros	395
Zeros (%)	17.8%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	8
Q3	33
95-th percentile	122.3
Maximum	199
Range	199
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	39.80203575
Coefficient of variation (CV)	1.509847565
Kurtosis	4.05033202
Mean	26.36162528
Median Absolute Deviation (MAD)	8
Skewness	2.100913856
Sum	58391
Variance	1584.20205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	395	17.8%
1	158	7.1%
2	119	5.4%
3	114	5.1%
4	103	4.7%
7	67	3.0%
5	62	2.8%
6	62	2.8%
12	50	2.3%
8	48	2.2%
Other values (148)	1037	46.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	395	17.8%
1	158	7.1%
2	119	5.4%
3	114	5.1%
4	103	4.7%
5	62	2.8%
6	62	2.8%
7	67	3.0%
8	48	2.2%
9	35	1.6%

Value	Count	Frequency (%)
199	2	0.1%
197	1	< 0.1%
194	3	0.1%
193	2	0.1%
190	1	< 0.1%
189	1	< 0.1%
185	2	0.1%
184	1	< 0.1%
183	3	0.1%
181	1	< 0.1%

Meat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	554
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167.0632054

Minimum	0
Maximum	1725
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	16
median	68
Q3	232.5
95-th percentile	687.6
Maximum	1725
Range	1725
Interquartile range (IQR)	216.5

Descriptive statistics

Standard deviation	224.3115586
Coefficient of variation (CV)	1.342674816
Kurtosis	5.052536556
Mean	167.0632054
Median Absolute Deviation (MAD)	60
Skewness	2.024958032
Sum	370045
Variance	50315.67532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	53	2.4%
5	50	2.3%
11	49	2.2%
8	45	2.0%
6	42	1.9%
10	40	1.8%
3	39	1.8%
9	37	1.7%
16	35	1.6%
12	34	1.5%
Other values (544)	1791	80.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	14	0.6%
2	30	1.4%
3	39	1.8%
4	30	1.4%
5	50	2.3%
6	42	1.9%
7	53	2.4%
8	45	2.0%
9	37	1.7%

Value	Count	Frequency (%)
1725	2	0.1%
1622	1	< 0.1%
1582	1	< 0.1%
984	1	< 0.1%
981	1	< 0.1%
974	1	< 0.1%
968	1	< 0.1%
961	1	< 0.1%
951	2	0.1%
946	1	< 0.1%

Fish
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	182
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.6510158

Minimum	0
Maximum	259
Zeros	379
Zeros (%)	17.1%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	12
Q3	50
95-th percentile	169
Maximum	259
Range	259
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	54.76082196
Coefficient of variation (CV)	1.454431462
Kurtosis	3.073430873
Mean	37.6510158
Median Absolute Deviation (MAD)	12
Skewness	1.915655483
Sum	83397
Variance	2998.747622
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	379	17.1%
2	152	6.9%
3	128	5.8%
4	108	4.9%
6	81	3.7%
7	66	3.0%
8	57	2.6%
10	54	2.4%
13	48	2.2%
11	46	2.1%
Other values (172)	1096	49.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	379	17.1%
1	10	0.5%
2	152	6.9%
3	128	5.8%
4	108	4.9%
5	1	< 0.1%
6	81	3.7%
7	66	3.0%
8	57	2.6%
10	54	2.4%

Value	Count	Frequency (%)
259	1	< 0.1%
258	3	0.1%
254	1	< 0.1%
253	1	< 0.1%
250	3	0.1%
247	1	< 0.1%
246	1	< 0.1%
242	1	< 0.1%
240	2	0.1%
237	2	0.1%

Sweets
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	176
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.04063205

Minimum	0
Maximum	262
Zeros	413
Zeros (%)	18.6%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	33
95-th percentile	125.3
Maximum	262
Range	262
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	41.07759388
Coefficient of variation (CV)	1.519106277
Kurtosis	4.103032656
Mean	27.04063205
Median Absolute Deviation (MAD)	8
Skewness	2.102681943
Sum	59895
Variance	1687.368719
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	413	18.6%
1	160	7.2%
2	123	5.6%
3	101	4.6%
4	80	3.6%
5	65	2.9%
6	63	2.8%
7	57	2.6%
8	56	2.5%
12	45	2.0%
Other values (166)	1052	47.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	413	18.6%
1	160	7.2%
2	123	5.6%
3	101	4.6%
4	80	3.6%
5	65	2.9%
6	63	2.8%
7	57	2.6%
8	56	2.5%
9	42	1.9%

Value	Count	Frequency (%)
262	1	< 0.1%
198	1	< 0.1%
197	1	< 0.1%
196	1	< 0.1%
195	1	< 0.1%
194	3	0.1%
192	3	0.1%
191	1	< 0.1%
189	2	0.1%
188	1	< 0.1%

Gold
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	212
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.97968397

Minimum	0
Maximum	321
Zeros	61
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	9
median	25
Q3	56
95-th percentile	165.3
Maximum	321
Range	321
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	51.82266024
Coefficient of variation (CV)	1.178331801
Kurtosis	3.153566099
Mean	43.97968397
Median Absolute Deviation (MAD)	19
Skewness	1.838560604
Sum	97415
Variance	2685.588115
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	71	3.2%
4	69	3.1%
3	68	3.1%
5	63	2.8%
12	62	2.8%
2	62	2.8%
0	61	2.8%
6	55	2.5%
7	52	2.3%
10	49	2.2%
Other values (202)	1603	72.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	61	2.8%
1	71	3.2%
2	62	2.8%
3	68	3.1%
4	69	3.1%
5	63	2.8%
6	55	2.5%
7	52	2.3%
8	40	1.8%
9	43	1.9%

Value	Count	Frequency (%)
321	1	< 0.1%
291	1	< 0.1%
262	1	< 0.1%
249	1	< 0.1%
248	1	< 0.1%
247	1	< 0.1%
246	1	< 0.1%
245	1	< 0.1%
242	2	0.1%
241	6	0.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	Age	Education	Marital_Status	Income	Spending	Seniority	Has_child	Children	Wines	Fruits	Meat	Fish	Sweets	Gold
0	0	65	Postgraduate	Alone	58138.0	1617	118.466667	No child	No child	635	88	546	172	88	88
1	1	68	Postgraduate	Alone	46344.0	27	100.133333	Has child	2 children	11	1	6	2	1	6
2	2	57	Postgraduate	In couple	71613.0	776	106.766667	No child	No child	426	49	127	111	21	42
3	3	38	Postgraduate	In couple	26646.0	53	101.000000	Has child	1 child	11	4	20	10	3	5
4	4	41	Postgraduate	In couple	58293.0	422	101.733333	Has child	1 child	173	43	118	46	27	15
5	5	55	Postgraduate	In couple	62513.0	716	106.133333	Has child	1 child	520	42	98	0	42	14
6	6	51	Postgraduate	Alone	55635.0	590	116.133333	Has child	1 child	235	65	164	50	49	27
7	7	37	Postgraduate	In couple	33454.0	169	110.266667	Has child	1 child	76	10	56	3	1	23
8	8	48	Postgraduate	In couple	30351.0	46	109.300000	Has child	1 child	14	0	24	3	3	2
9	9	72	Postgraduate	In couple	5648.0	49	99.966667	Has child	2 children	28	0	6	1	1	13

Last rows

	df_index	Age	Education	Marital_Status	Income	Spending	Seniority	Has_child	Children	Wines	Fruits	Meat	Fish	Sweets	Gold
2205	2229	50	Postgraduate	In couple	24434.0	50	97.766667	Has child	2 children	3	2	8	20	0	17
2206	2230	38	Postgraduate	Alone	11012.0	84	112.033333	Has child	1 child	24	3	26	7	1	23
2207	2231	52	Postgraduate	Alone	44802.0	1049	118.933333	No child	No child	853	10	143	13	10	20
2208	2232	36	Postgraduate	Alone	26816.0	22	119.066667	No child	No child	5	1	6	3	4	3
2209	2234	48	Postgraduate	In couple	34421.0	30	108.466667	Has child	1 child	3	3	7	6	2	9
2210	2235	55	Postgraduate	In couple	61223.0	1341	109.066667	Has child	1 child	709	43	182	42	118	247
2211	2236	76	Postgraduate	In couple	64014.0	444	97.000000	Has child	3 children	406	0	30	0	0	8
2212	2237	41	Postgraduate	Alone	56981.0	1241	101.533333	No child	No child	908	48	217	32	12	24
2213	2238	66	Postgraduate	In couple	69245.0	843	101.566667	Has child	1 child	428	30	214	80	30	61
2214	2239	68	Postgraduate	In couple	52869.0	172	117.100000	Has child	2 children	84	3	61	2	1	21

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows